| Identifying drug–target interactions based on graph convolutional network and deep neural network T Zhao, Y Hu, LR Valsdottir, T Zang, J Peng Briefings in bioinformatics 22 (2), 2141-2150, 2021 | 225 | 2021 |
| A learning-based framework for miRNA-disease association identification using neural networks J Peng, W Hui, Q Li, B Chen, J Hao, Q Jiang, X Shang, Z Wei Bioinformatics, 2019 | 155 | 2019 |
| SemFunSim: a new method for measuring disease similarity by integrating semantic and gene functional association L Cheng, J Li, P Ju, J Peng, Y Wang PloS one 9 (6), e99415, 2014 | 146 | 2014 |
| LncRNA2Function: a comprehensive resource for functional investigation of human lncRNAs based on RNA-seq data Q Jiang, R Ma, J Wang, X Wu, S Jin, J Peng, R Tan, T Zhang, Y Li, ... BMC genomics 16, 1-11, 2015 | 137 | 2015 |
| LncRNA2Target: a database for differentially expressed genes after lncRNA knockdown or overexpression Q Jiang, J Wang, X Wu, R Ma, T Zhang, S Jin, Z Han, R Tan, J Peng, G Liu, ... Nucleic acids research 43 (D1), D193-D196, 2015 | 132 | 2015 |
| DeepLGP: a novel deep learning method for prioritizing lncRNA target genes T Zhao, Y Hu, J Peng, L Cheng Bioinformatics 36 (16), 4466-4472, 2020 | 111 | 2020 |
| An end-to-end heterogeneous graph representation learning-based framework for drug–target interaction prediction J Peng, Y Wang, J Guan, J Li, R Han, J Hao, Z Wei, X Shang Briefings in bioinformatics 22 (5), bbaa430, 2021 | 110 | 2021 |
| Genome-wide survival study identifies a novel synaptic locus and polygenic score for cognitive progression in Parkinson’s disease G Liu, J Peng, Z Liao, JJ Locascio, JC Corvol, F Zhu, X Dong, ... Nature genetics 53 (6), 787-793, 2021 | 98 | 2021 |
| Predicting Parkinson's disease genes based on node2vec and autoencoder J Peng, J Guan, X Shang Frontiers in genetics 10, 226, 2019 | 96 | 2019 |
| A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network J Peng, J Li, X Shang BMC bioinformatics 21 (Suppl 13), 394, 2020 | 92 | 2020 |
| InfAcrOnt: calculating cross-ontology term similarities using information flow by a random walk L Cheng, Y Jiang, H Ju, J Sun, J Peng, M Zhou, Y Hu BMC genomics 19, 125-134, 2018 | 90 | 2018 |
| Integrating multi-network topology for gene function prediction using deep neural networks J Peng, H Xue, Z Wei, I Tuncali, J Hao, X Shang Briefings in bioinformatics 22 (2), 2096-2105, 2021 | 79 | 2021 |
| SC2disease: a manually curated database of single-cell transcriptome for human diseases T Zhao, S Lyu, G Lu, L Juan, X Zeng, Z Wei, J Hao, J Peng Nucleic Acids Research 49 (D1), D1413-D1419, 2021 | 72 | 2021 |
| Deep learning‐based classification and mutation prediction from histopathological images of hepatocellular carcinoma H Liao, Y Long, R Han, W Wang, L Xu, M Liao, Z Zhang, Z Wu, X Shang, ... Clinical and translational medicine 10 (2), 2020 | 66 | 2020 |
| Combining gene ontology with deep neural networks to enhance the clustering of single cell RNA-Seq data J Peng, X Wang, X Shang BMC bioinformatics 20, 1-12, 2019 | 63 | 2019 |
| Identifying term relations cross different gene ontology categories J Peng, H Wang, J Lu, W Hui, Y Wang, X Shang BMC bioinformatics 18, 67-74, 2017 | 61 | 2017 |
| Prediction and collection of protein–metabolite interactions T Zhao, J Liu, X Zeng, W Wang, S Li, T Zang, J Peng, Y Yang Briefings in bioinformatics 22 (5), bbab014, 2021 | 57 | 2021 |
| Improving the measurement of semantic similarity by combining gene ontology and co-functional network: a random walk based approach J Peng, X Zhang, W Hui, J Lu, Q Li, S Liu, X Shang BMC systems biology 12, 109-116, 2018 | 55 | 2018 |
| A novel method to measure the semantic similarity of HPO terms J Peng, H Xue, Y Shao, X Shang, Y Wang, J Chen International Journal of Data Mining and Bioinformatics 17 (2), 173-188, 2017 | 51 | 2017 |
| Measuring semantic similarities by combining gene ontology annotations and gene co-function networks J Peng, S Uygun, T Kim, Y Wang, SY Rhee, J Chen BMC bioinformatics 16, 1-14, 2015 | 51 | 2015 |
Jin ChenDepartment of Medicine, Department of Biomedical Informatics, University of Alabama at Birmingham在 uab.edu 的电子邮件经过验证
